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Static Geological Modelling with Knowledge Driven Methodology

Author

Listed:
  • Jun Li

    (State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China)

  • Xiaoying Zhang

    (Dimue Technology, Ltd. Co., Wuhan 430000, China)

  • Bin Lu

    (Dimue Technology, Ltd. Co., Wuhan 430000, China)

  • Raheel Ahmed

    (Dimue Technology, Ltd. Co., Wuhan 430000, China)

  • Qian Zhang

    (State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China)

Abstract

Geological modelling is an important topic of oil and gas exploration and production. A new knowledge driven methodology of geological modelling is proposed to address the problem of “hard data” limitation and modelling efficiency of the conventional data driven methodology. Accordingly, a new geological modelling software (DMatlas) (V1.0, Dimue, Wuhan, China) has been developed adopting a grid-free, object-based methodology. Conceptual facies models can be created for various depositional environments (such as fluvial, delta and carbonates). The models can be built largely based on geologists’ understandings with “soft data” such as outcrops analysis and geological maps from public literatures. Basic structures (fault, folds, and discrete fracture network) can be easily constructed according to their main features. In this methodology, models can be shared and re-used by other modelers or projects. Large number of model templates help to improve the modelling work efficiency. To demonstrate the tool, two case studies of geological modelling with knowledge driven methodology are introduced: (1) Suizhong 36-1 field which is a delta depositional environment in Bohai basin, China; (2) a site of the north Oman fracture system. The case studies show the efficiency and reliability within the new methodology.

Suggested Citation

  • Jun Li & Xiaoying Zhang & Bin Lu & Raheel Ahmed & Qian Zhang, 2019. "Static Geological Modelling with Knowledge Driven Methodology," Energies, MDPI, vol. 12(19), pages 1-23, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:19:p:3802-:d:274301
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    Cited by:

    1. Caiwei Fan & Kongyou Wu & Jun Li, 2023. "A New Methodology Combining Geophysical Calculations and Geological Analysis to Identify and Characterize Carrier Systems for Vertical Hydrocarbon Migration in the Central Diapir Zone of the Yinggehai," Energies, MDPI, vol. 16(4), pages 1-17, February.

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